big data like. google and facebook of had us in the tentacles for a while now they collect all the information they can about us they often know us better than we know ourselves just look through facebook likes and the company knows a great deal about a person for example that ethnic background gender religion and their sexual orientation behind the curtains there's a lot more going on to their data traders who sell all that information looking and they're getting much hungrier some of them operate globally including axiom data logics and cold logic critics say that even more threatening to our privacy they trade is also analyze consumer data from customer loyalty and rewards cards scrutinize the credit ratings of people or examined their health status sometimes with far reaching consequences for the individual well i t. entrepreneur and legal professional if one of the joins me now thank you very much for coming in and writing me so technologists call this big data what are the risks of mass data g

society and moving more toward a machine basis idealizations are informing the data and then the data is making decisions based on the machines who are then taking that data and acting out their machine worlds and then it goes in this loop feedback loop of machines to machines are we advocating our humanity here a big guy and the whole you know you're already here you're a christian you know you're a big fan of jesus you know this is this seems like we're forsaking our humanity for the for the for the mark of the beast this is the devil jim are you are you caving into the devil came into the devil but i think you're on to something your description of this and this were a curse word because the singularity is the merger of man and machine so and you know this is pro-trade in the blade runner of twenty forty nine which i saw those great move by the way everyone hated it i just i love i love three hour movies where nothing happens i was kind of but it was it was very very deep in the you know that's what we're merger now we're. in the government's mob this of course but the private part

but that data doesn't have. an emotional context behind it or sensitivities and the depths of understanding that we need to go to in order for algorithms to understand the emotional impact and the social impact on us as human beings it's just not there yet so i think ai machine learning is extraordinarily good at analyzing data working out very smart things about how you would best use a finite budget in some our own work with for example try to work out how given a certain budget you can have maximum impact to prevent malaria again these kind of more health implications i don't think anybody would be too concerned but the moment you begin to start looking at things to do with policing and crime and so on there is always a danger what you are again doing is potentially reinforcing social stereotypes the problem isn't necessarily with the machine learning it's being done rather clumsily and perhaps the worst you can say is naively the problems are actually deeper and they are societal problems which i'm afraid ev

what is the potential for the data interest-rate risk -- data industryrate -- data writ large? mr.baselice: we look at demographics closely and we are mindful of them whereas the media -- that is not their first interest. their first interest is getting a story out there and sharing the job approval ratings. the short answer is that there is nowhere else for candidates to go but to the industry that has pollsters existing. there are new tools out there. we are looking at internet polling more. quick surveys on the internet. mining data. voters scoring. voters scoring does not answer the why's. it just shares with you some issues that are important. it is a combination of tools being used. within the industry, to be trusted, we all have to fall flat on our face on both the democrat and our side. and we are still here. and so, until they can figure out how to replace us, jeff, don't replace us yet, give me a full -- a few more cycles. keep us around. i am playing around with the notion of going back to door to door. not everyone had a landline phone but there were enough people of di

we look at acxiom data, we used data in different ways in different states. of might be on a scale out seven, one or two. theon't even know what number two or number seven meets. but if that combination issuing up again and again with other voters and -- isn't showing up again and again with other -- is showing up again and again with other voters and you are undecided? clinton wasn't stopping their polling with three weeks to go. they were doing some data mining and looking at name identification, not getting into why people were voting for her or trump. they didn't ask why. numbers get large completed and combine it against all this other data, algorithms can be traded to look for other things that voters have in common. democrats were using it before republicans were. if you are a cat lover and don't like wind, you are probably not conservative. wine, you are probably not conservative. >> [laughter] mr. roe: yes? >> i have found it fascinating that the hidden trump supporters were biased against those surveys. i am going to vote for trump anyway. where do

mike murray said i believe in data for 30 years in politics. please keep believing in data. tonight, data died. it did not die. we are still around. you still use pollsters, don't you, jeff? >> i do. >> thank you. i have never -- sobriety about what happened tonight is essential. nate silver -- polls could not keep up with changing demographics. i might take this quote to task. the polls have demographics in them. the key is, were the polls part of the demographics ? the race could hinge on who turns out. looking at another poll, here is a poll that came pretty close. they tell you how they did the poll. some of us in the polling field have a problem with doing a survey of adults and then look at the likely voters below that. now you have to wonder if we are getting the right number of interviews in each state. at least they tell you what they did. there are 940 likely voters in the margin of error was 3.2%. they tell you, when you get into the extra tab, that 36% of the respondents are democrats, 28% republican. a little too democrat by my standards for a nationwide poll bu

complex data dynamic data is going to become increasingly critical to success right and you know you are so right when you mention government of course my years perk up after thirty years be in there even when i was a financial regulator regulator and for those of you who think what i'm going to say is still the case it's not that my old agency the committee futures trading commission is doing a great job but back in the day you know. you know i don't even eight years ago. even amidst all of this computerized trading the algorithmic to. grading that's going on in the markets the guy in charge of your computer stuff was the go make sure you had you know the most recent version of word on your computer so you do need these analytics jobs not just to financial regulators but all throughout the government you know whether or not interviewing with a cybersecurity there's a whole other night is dealing with terrorism threats there's all sorts of areas in the government so i agree with you a hundred percent at super here these are good jobs and you're doing a good job but one thing that you

in that, it certainly more data is better. but i guess a concern i have, particularly when you go to the equity zones and comparison of equity and non-equity on the range that is true -- painfully true in the equity zones versus the non, that at the risk of being -- at the risk of being controversial, do we need more data to tell us where to focus? i would argue we don't. because at some point, we know what we know and we know enough to know where we need to be focusing our resources. i get the political context. i get the challenges, general manager pointed out in terms of you can't pick things up and move them physically or otherwise to other places. but it would seem to me that the conversation, whether it's the geobond conversation, capital asset conversation, should start with, here's where we focus. and there are other things we'll do by necessity, safety, et cetera, but here's where we're going to start. i would hope as we again go through this process, that will be the leading mantra, because it seems we have in the pa

decisions and change plans quickly and effectively. >> the key with both big data and small data is getting that rapid feedback. and then thinking about the actions that you take. >> reporter: but data alone is not enough. when this vendor suggested lindsay could save 17 cents a pound on precooked roast beef to replace her store cooked supply, she jumped on it. and made a big mistake. but the customers could tell that it was commercially cooked and they didn't like it at all. >> the feedback was like, you've ruined my life. and i just realized, you know, it's not worth losing that business. >> and that's where the judgment comes in. some numbers matter more than others. and every business owner must decide what to do with the data once they get it. >> i can't say i've ever had a single day of being bored once i bought this business because there's always something to do and it's never the same. >> equifax, target, whole foods, have all been hacked. they're big companies with a lot of resources. you need to ask yourself what are you doing to protect your own company? james foster is

so, this is a three-year trend data. we are noticing that more and more students overall by each classification are increasing in numbers and percentage for graduation. and significant increases for the english learner population. linking the data we see and provide to the court to actual practice that happens in the classrooms and in the schools, these are some site based promising practices for spanish speaking el's really with a focus. and it's really based on the rpa conference data conferences they have with school leaders, and some of the notes that they have captured in looking and reviewing the data with their respective school teams. and they also reflect some of the next steps that as a whole district we need to be able to replicate at every school site that does have a significant population of spanish/english learners. the first one is really immediately identifying el's who need the interventions and providing specifically additional small group instruction with a focus on reading strategies. reading and wri

as we explore the implications and the impact of big data and data analytics. america's future workforce, the challenges and the opportunities they face. the rise of robotics, autonomous systems and an increasingly on-demand economy. an increasingly touchless society. new frontiers of medicine and healthcare and cyber security and cyber resilience in an increasingly fragile world. this afternoon's first insight will come from the doctor jackson, the vice president and chief technology officer of lockheed martin. he will share some of his thoughts on how the physical and digital word ol world are colliding and converging every day through sensors, networks and the tsunami of data. big data is a game changer for generating value and enhancing competitiveness. as a society, we produce today , actually every two days, as much data that was generated from the beginning of time until the beginning of the 21st century. and then, in just two years the amount of the available digital information in the world will rise from 5 - 50 zettabytes. within this turbulent data r

in this service is taken from market data well we start with market data and that's the many many example by the way you have to separate sort of predictive analytics on the one hand and like law enforcement looking for insight of traders and all that but this is sort of trading all the time in the head of you know i mean a announcements that's quite common you can always see that you can see it before the fact definitely see the. after the fact but we're seeing that we see market data but we're also using complexity theory which says that in any system the scale of the system scaling metrics are very important in the density function the interconnectedness that's a leading indicator of potential collapse or you know they are ok so what's the ratio between market data and non market data roughly well it's hard to say it depends it depends on the particular no see we take all this so we use behavioral psychology that's just that's very well established here is to expire says you know people would rather take three you know three dollars as a sure thing instead of three dollars twenty cents

and you talk about data, data analytics, greater and greater data needs, modeling and simulation. my other hat at the council i'm thinking high performance computing capabilities, the shared national infrastructure that we have in our national laboratories that either probably already are engaged with you all or perhaps could be engaged more. i would love to hear your thoughts around what do you see as some of the tools that might be available that you already are using or perhaps need better access to actually do the work. we talk about smart cities, as you said, it's not just about the grid. it's everything that's connected. and these things draining more and more energy. it's a huge challenge. >> we're working with so many technology providers today, silicon valley and otherwise, that are working on aggregation of customer loads, aggregation of system data to be able to really provide capacity benefits so you don't have to build that next generation facility. those are the kinds of things that are working -- i'll give you an example. there's a company that we've been working wi

data, we are asking we're trying to collect data on race and we're doing intercept data to understand who is using our parks and who is not using our parks and why. but beneath this, this department has been very, very committed to equity for a long time, long before i ever got here. and this department, you know, multigenerational ethos is providing community and open space and recreational opportunity to those who need it most. and you need to look no further than a number of our centers and supervisor kim you have a couple in jean friend where we get -- not everybody is going to sign up for a camp or a class through an online tool. we have a number of drop-in programs in our system. you have the golden gate seniors' center that is a drop-in program and the art studio and the jean friend work center and we have trouble collecting data on some of our drop-in programs so it's harder to understand who is using it and we tried to explore ways of taking census counts and figuring who is coming into our building so we know and so i can tell you. our scholarship program, it's one of the th

is that the amount of data or quality of data? was the problem? >> because the data does not tell us anything about diagnoses and doesn't tell us anything about basic standard of care issues like did a person gets the medication assisted treatment. how do i know if the program is working if i don't know if they got the standard of care. >> what are you getting? >> number of people served, things that approximates earned types of diagnoses. did you feel sad. do you use certain substances, that's not enough to tell us what these programs are doing for who and what-- [inaudible] >> thank you for your focus. to the extent we can avoid duplication require states to then that is something we should work together on. >> i would echo that and i think this administration-- i think the administration for 40 you. finish by thinking senator alexander murray and murphy for calling, convening and participating in this and thank you for an excellent testimony. of the hearing record will remain open for 10 days and members may cement additional information for th

what your cell phone data companies do is they don't just have data as to where you are many of them retain that data for up to eighteen months and so what the police have been doing is going to these third party providers and saying give us that data they haven't gotten the warrant and so the police cannot only determine where you are but where you've been and i think that raises profound privacy considerations and the police have been using a doctrine called the third party doctrine which essentially says mr cooke you don't have a reasonable expectation of privacy in your data which is held by a third party and now has been developed over case law over years and years where in the account we had your data in the police obtained it without a warrant then essentially your rights were violated i think the way we look at the fourth amendment now that so much of our personal information is held by these third parties i think the fourth amendment doctrine has to change to start recognizing an individual right to privacy in your data which is held by third parties yes steve same question

that's the biggest demographic. >> yeah, lots of data in that store. >> big data expert is at vancouver based open tech. >> how much did the sandwich cost, who bought it. >> he says small business owners can learn from data if they ask the right questions. >> how many times have they bought it. where did the meat come from. how much did the bread cost. >> those are the questions she asks every day. >> last 30 days, paid 121 bills for total of $50,523. >> the problem is tracking the numbers is harder than you think. >> something goes up 7 cents a pound, you don't notice it, but over time you see difference in money you're making, eating at, eroding the margin. >> if costs rise faster than prices, even popular shops like hers can go broke rapidly. no matter what industry they're in. >> i can't raise the cost of my sandwich up and down based on what the cost of tomatoes are or cheese. >> like any other high volume business, she says her survival month after month depends on monitoring food costs because profit margins are so small. >> somewhere between 86,000 and 110,000 in sales. which is

complex data dynamic data is going to become increasingly critical to success right and you know you are so right when you mention government of course my years perk up after thirty years be it be in there even when i was a financial regulated and regulator and for those of you who think what i'm going to say is still the case it's not that my old agency the committee futures trading commission is doing a great job but back in the day you know. you know i don't even eight years ago. even amidst all of this computerized trading the algorithmic trading that's going on in the markets the guy in charge of you know our computer stuff was the go make sure you had you know the most recent version of word on your computer so you do need these analytics jobs not just a financial regulators but all throughout the government you know whether or not isn't dealing with a cyber security there's a whole rather not as dealing with terrorism threat successor there's all sorts of areas in the government so i agree with you one hundred percent at super here these are good job. obs you're doing a good j

the cloud is a place called the data center and the re-hosting of data enterprise applications into thatnvironment is a compelling spend. capex spend.lling cory: what kinds of companies? david: in the bay area, names like equinex, hosting many of the same names we talked about but also the conversion of enterprise compute. within that data center ai chips, server chips, com boxes. with blinking lights. a lot of software hosted and distributed globally and in the network. cory: interesting data center play. do you like the structure for that business? david: the reit has some unique attributes, and that is the requirement that some 80% gets -- that some 80% of the earnings gets distributed out as earnings. those are real cash earnings. the challenge in a raising rates environment is that they tend to be very rate-sensitive. if we see a reflate coming off the tax bill that was approved in december, those could be challenged in terms of valuation. cory: we see higher rates and suddenly data center stocks throwing off what is essentially a dividend. 80% of the profits coming out. training al

of data. like i believe possibly some of the day that we're trying to get. and we should consider number two, the data sources and availability of resource. some of the data that we use in our reports is made -- is originated with other city agencies and in some cases we may need to acquire or data from third-party sources, including those that may not be available in formats that lead us ready for analyzization. this is a great opportunities to talk about broader trends and we hope to highlight the data in the context of policy which you might which to set. i wanted to be here personally as a new city-wide director to reinforce the importance of this work and this body's reception to the work. and for our presentation, first you'll hear as the supervisor said from teresa ohaida on the housing report. thank you. have. -- thank you very much. >> good afternoon, supervisors. my name is teresa ohaida, principle planner with the city-wide policy planning section. i'm here to talk about the housing

you have less data from customers and you can call the right data or up at the right moment and match advertising precisely to the customer that's what makes this information so valuable for advertisers and the movement profiles can be sold to brokers and for a lot of money. but it's likely most people will be more annoyed about all the bikes left lying around on land in the water and in the air. did you know there are more combat shops right here than istanbul but all the days of the day in a cab numbered in talking about the very meaty sandwich of turkish origin that sold on every street corner hit in the german capital well the european union is considering banning phosphates done now that's what holds the meat together and the plan has come back. in a spin. but re stone mezzo owns a journey kebab shop in the busy major neighborhood of berlin and he does a good business here but kebab shop owners around germany are up in arms about a new e.u. regulation that would ban phosphates from germany. not to mention the stuff and also so i expect a small bit of damage to our business. but i